A new lightweight convolutional neural network for radiation-induced liver disease classification-Reference-Cited by-同舟云学术

A new lightweight convolutional neural network for radiation-induced liver disease classification

Published:2022-03 Issue: Volume:73 Page:103463
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Alici-Karaca Demet,Akay Bahriye,Yay Arzu,Suna Pinar,Nalbantoglu O. Ufuk,Karaboga Dervis,Basturk Alper,Balcioglu Esra,Baran Munevver

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference61 articles.

1. Hepatic tumors and radiotherapy;Rio;Cancer radiotherapie: journal de la Societe francaise de radiotherapie oncologique,2016

2. Stereotactic body radiotherapy for primary hepatic malignancies–report of a phase i/ii institutional study;Weiner;Radiotherapy and Oncology,2016

3. Dna sensing and associated type 1 interferon signaling contributes to progression of radiation-induced liver injury;Du;Cellular & Molecular Immunology,2020

4. Radiation-associated liver injury;Pan;International Journal of Radiation Oncology* Biology* Physics,2010

5. Global cancer statistics;Jemal;CA: A Cancer Journal for Clinicians,2011

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MPSA: Multi-Position Supervised Soft Attention-based convolutional neural network for histopathological image classification;Expert Systems with Applications;2024-11

2. Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate;Turkish Journal of Electrical Engineering and Computer Sciences;2024-05-20

3. A Novel Machine Learning-Based Prediction Method for Early Detection and Diagnosis of Congenital Heart Disease Using ECG Signal Processing;Technologies;2024-01-02

4. Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC);Expert Systems with Applications;2023-07

5. A Vision Transformer-based Approach for Automatic COVID-19 Diagnosis on Chest X-ray Images;Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2023-06-01